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I enjoy building backend systems and automating workflows that solve real problems.
Currently exploring AI development with a strong interest in practical, system-level applications.
BTech IT student focused on scalable architecture, clean code, and experimentation.
- Backend Engineering
- Artificial Intelligence & Machine Learning
- Automation & System Design
| Languages | Frameworks & Libraries | Tools & Platforms |
|---|---|---|
| Python | Node.js | Git |
| Java | React | Linux |
| JavaScript | Vite | VS Code |
| TypeScript | Expo Go | Anaconda |
| C | Jupyter Notebook | |
| C++ |
A complete prototype for medicine access, vending machine integration, and digital prescriptions.
MedTrack is a modern mobile application that allows users to scan prescriptions, check medicine availability, browse OTC medicines, process payments, and interact with smart vending machines via QR codes.
Built for a college-level showcase with a professional architecture and backend-friendly design.
Repository:
https://github.com/dhairya49/MedTrackApp
A conversational AI assistant built using LangChain, OpenAI, and Streamlit.
Supports:
- Wikipedia search
- Weather information retrieval
- Vector database queries
Repository:
https://github.com/dhairya49/Langchain-Ai-Assistant
A machine learning project to predict diseases based on symptoms.
Includes:
- Data preprocessing & EDA
- Symptom severity & precautions
- Random Forest Classifier (98.39% accuracy)
Repository:
https://github.com/dhairya49/Sympton_Diagnosis_Ai
- Advanced backend architecture
- AI model integration into real-world systems
- Vector databases & local AI models
- Gym & fitness
- Minecraft redstone systems
- Algorithms & logic building
- IoT experimentation (budget permitting)
Email:
dhairyapatel4926@gmail.com
LinkedIn:
https://www.linkedin.com/in/dhairya-patel-021564260/
Discord:
not_dhairyapatel
Status: Learning | Building | Iterating
Mode: Backend-first | AI-driven | Automation-oriented
